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Paper Citation Record · LEDGER

DAWN: Dynamic Adversarial Watermarking of Neural Networks

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1906.00830.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1906.00830 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T10:28:59.577056Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T00:27:29.617850Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation eb92d556-e1bd-46f8-9b87-6f35f5172df3 · inbound

Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models cites this paper.

Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models DAWN: Dynamic Adversarial Watermarking of Neural Networks

Reference 100

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:27:29.619197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-06-27T17:13:46.335347Z digest=sha256:a0345dfa7dc4a410054bd7ef5c3144690edd9c36dad7f6b6051846427472d1a2

Observation 9e0e84c0-2057-425e-9d07-f109328e0cf4 · inbound

Data Provenance for Image Auto-Regressive Generation cites this paper.

Data Provenance for Image Auto-Regressive Generation DAWN: Dynamic Adversarial Watermarking of Neural Networks

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-06-30T10:34:36.609592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-06-30T10:28:59.577056Z digest=sha256:579dbe6cb3d6a287bb3c1f121630b28f008102d6363bd91bfc4c331f2f1ef7bb